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Quality of Life and Job Loss during the COVID-19 Pandemic: Mediation by Hopelessness and Moderation by Trait Emotional Intelligence.

Federica AndreiGiacomo ManciniFrancesca AgostiniMaria Stella EpifanioMarco Andrea PiomboMartina RioloVittoria SpicuzzaErica NeriRosa Lo BaidoSabina La GruttaElena Trombini
Published in: International journal of environmental research and public health (2022)
This study contributes to the knowledge on the effects of the COVID-19 pandemic by examining a moderated mediation model in which the impact of job loss over quality of life (QoL) is mediated by hopelessness and moderated by trait emotional intelligence (trait EI). Data were collected from a large nationally representative Italian sample of adult workers ( N = 1610), who completed a series of anonymous online questionnaires. Total, direct and indirect effects were estimated through bootstrapped mediated moderation analyses providing 95% bias corrected bootstrap confidence intervals. After controlling for the effects of gender and age range, job loss was found to be negatively associated with QoL, and hopelessness partially mediated such relationship. These relationships were in turn moderated by trait EI. Our study suggests that trait EI levels act as protective factor for a good QoL, mitigating the impact of both job loss and hopelessness over QoL levels during the COVID-19 pandemic. Identifying psychological protective and/or risk factors for a better QoL is crucial for the development of interventions aimed at reducing the emotional impact of the pandemic and of its negative real-life consequences.
Keyphrases
  • social support
  • genome wide
  • sars cov
  • healthcare
  • mental health
  • social media
  • machine learning
  • young adults
  • big data
  • sleep quality
  • deep learning